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Intel's Tan calls DeepSeek, Kimi and GLM 'good enough' while Washington holds 9.9% of his company

Intel CEO Lip-Bu Tan called DeepSeek, Kimi and GLM "good enough" and cheap to run at a Singapore panel on Monday. Washington owns 9.9% of Intel and named the same labs in a September advisory, so the cost case comes from a company it part-owns.

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Photograph accompanying Intel's Tan calls DeepSeek, Kimi and GLM 'good enough' while Washington holds 9.9% of his company
Photo: yahoo.com
Washington agreed to buy Intel shares in a Trump deal Terms of the US government's Intel share deal, per Intel's filing, and total US backing counting earlier CHIPS Act grants.

Key figures: the US government agreed to buy 433.3 million Intel shares at $20.47 each, an $8.9 billion investment, per Intel's filing. Counting earlier CHIPS Act grants, total US government backing of Intel reaches $11.1 billion.

Washington agreed to buy Intel shares in a Trump deal
FigureValueNoteClaim
US government's agreed investment in Intel shares8.9 $ billion10
Intel shares to be bought433.3 million shares10
Price per share20.47 $10
Total US government backing of Intel11.1 $ billioncounting earlier CHIPS Act grants11

What happened

  • A September advisory from the FBI, NSA and CISA named DeepSeek, Moonshot AI and Z.ai among six Chinese firms running industrial-scale distillation of US models since late 2024.
  • Under Intel's deal with the Trump administration, the government bought 433.3 million shares at $20.47 each, an $8.9 billion investment, per Intel's filing.
  • Tan spoke on a Singapore panel with Broadcom's Hock Tan and named the cost of capital and uncertain returns as the AI industry's key challenges.
  • Nvidia's Jensen Huang said in July that US companies should "absolutely" be allowed to use Chinese open-source models, which he called "excellent".

Why it matters

  • contradiction Washington's agencies accuse three labs while a company it part-owns praises them, and Trump's suggestion that the government "might" take stakes in OpenAI and Anthropic would put it on both sides.
  • cost Where a Chinese open-weight model is good enough, the premium on a US closed model becomes a cost the buyer must justify, and US closed-model labs are the ones asked to defend it.
  • decision Policymakers must choose between acting on the reported ban and sanction threats and leaving buyers to choose on price, a step the July letter's signatories, including Nvidia and Microsoft, asked them not to rush.

The government's position in Intel works out to 433.3 million shares at $20.47, or $8.87 billion [15] (the filing rounds it to $8.9 billion [10]), and the $11.1 billion total [11] implies about $2.2 billion of earlier CHIPS Act grants [16]. That is a large holding in a company whose chief executive has just endorsed three labs the same government's agencies accused of distilling US models [8].

We think the remark is a vendor's demand argument. Intel sells chips, and Nvidia's Jensen Huang made the commercial version in July, arguing, according to Cryptopolitan, that cheaper models expand demand for chips [14]. Tan's own words fit that reading: "I'm a strong believer of open source, that's the best way to drive efficiency," he said [3]. The counter-thesis is that the stake changes how the remark is heard, and Cryptopolitan calls the endorsement politically loaded for that reason [19].

Ctech's account of the same panel puts the remark inside a conversation about financing. "If there's any challenge in the front, it's capital and the cost of capital, and then the other part is in the long run, people want to see the ROI," Lip-Bu Tan said [5]. Broadcom's Hock Tan argued on the same panel that financing could become a bigger constraint than chips, memory or electricity [6], and said demand for compute could outrun supply through 2029 and potentially into 2030 [7]. A buyer who has to show a return on expensive capital has a reason to ask whether a model that is good enough for some uses [2] also costs a fraction of the closed alternative [17]. Ctech says the remark challenges the assumption that the most expensive systems will dominate every market [18].

The evidence stops short of the policy claim. Tan said "good enough" for some uses [2], and Neither article reports a price per token or any response from the administration.

The policy side is where the record is thinnest. In July, Nvidia, Microsoft, Meta, Hugging Face and Mistral signed a letter against "premature restrictions" on open-weight models, and it coincided with reports of ban and sanction threats from the Trump administration and Treasury Secretary Scott Bessent [13]. If the administration acts on those threats, Intel's chief executive will have publicly endorsed models the administration then restricted. If buyers keep Chinese models to the narrow uses Tan described and US closed models keep the rest, the pressure stays a pricing matter for US labs and never reaches policy.

What to watch

  • Any Treasury or Commerce move on Chinese open-weight models, given the ban and sanction threats reported around July.
  • A public response from the administration or Intel to Tan's remarks, or a formal government stake in OpenAI or Anthropic.
  • Price-per-token or workload-share disclosures from US buyers that would show whether the 'some uses' Tan described are widening.

Clarity's read

What the record supports and how the coverage leans. The claims behind it follow.

Reality

Evidence55
Adoption
Insufficient
Hype gap+20
Incentives
Insufficient
Confidence60
Why these scores

Claim ledger

Ranked by verification strength, evidence, and original report placement.

  1. [1]

    Intel CEO Lip-Bu Tan on Monday backed Chinese open-weight models DeepSeek, Kimi and GLM, calling them 'good enough' and cheap to run.

  2. [2]

    Tan said the token costs of Chinese frontier AI models have been lower and their adoption 'very fast', and that models including DeepSeek, Kimi and GLM are 'good enough' for some uses.

  3. [3]

    "I'm a strong believer of open source, that's the best way to drive efficiency," Tan said.

    ReportedSupportedSource: Lip-Bu Tan, quoted by Ctech (Calcalist)2 sources— create a free account to open themView cited source

Sources

2 independent publishers whose own reporting we read for this story.

  1. calcalistech.com

    1 article · October 12, 2026

    Intel’s Lip-Bu Tan says AI companies will have to prove the returns justify the spend | Ctech
  2. cryptopolitan.com

    1 article · October 12, 2026

    Intel’s Tan joins Nvidia in defending Chinese open-weight AI

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